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Knowledge-Based Agent for Efficient Allocation of Distributed Resources

Part of the Studies in Computational Intelligence book series (SCI, volume 511)

Abstract

The mobilization of heterogeneous distributed resources and the allocation of resources to user-tasks are still challenges in distributed computing. In this paper, we propose a knowledge-based agent to solve the problem of resources mobilization and allocation taking into account the continuous changing of resources conditions. The agent model we propose is mainly based on ontological models representing basic collaborative environment entities, rules, inference engines, and object oriented components for resources data processing.We suggest mechanisms to handle the discovered resources in terms of updating, filtering, ranking, and allocation.

Keywords

Ontology Resources management Task-based computing 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Ebrahim Nageba
    • 1
  • Mahmoud Barhamgi
    • 1
  • Jocelyne Fayn
    • 2
  1. 1.Université Lyon 1VilleurbanneFrance
  2. 2.SFR Santé Lyon EstUniversité Lyon 1BronFrance

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